Analysis and Simulation of Transmission Range Effect on ZRP Routing Protocol with Different Speed and Node Density in a VANET Network

Author(s):  
Andiansyah Rivai ◽  
Doan Perdana ◽  
Ridha Negara
2004 ◽  
Vol 2 (3) ◽  
pp. 335-349 ◽  
Author(s):  
Alejandro Quintero ◽  
Samuel Pierre ◽  
Benjamin Macabéo

2011 ◽  
Vol 403-408 ◽  
pp. 2589-2592
Author(s):  
Man Tian Xiang ◽  
Li Hong Li ◽  
Li Hua Sun

The topology attributes of both connectivity and coverage in a wireless sensor network depend on the spatial distribution and transmission range of the nodes. This paper proposes an analytical expression of the required critical transmission range of a node, for a given node density, to create an almost surely connected network. Equivalently, if the maximum range of the nodes is given, it can estimate effectively the number of nodes needed to cover a certain connected network. With experimental tests, the method is proved to achieve guaranteed degrees of coverage and connectivity, valuable for researchers in this area.


MANET is a cluster of nodes that are mobile which transfer the packet within a limited transmission range. It is decentralized and infrastructure less wireless network. Due to host mobility requirement for a robust dynamic routing protocol is needed, since a random and dynamic difference in the network topology is there. This paper presents a performance analysis between two routing protocols AODV and DSR. In terms of throughput, PDR and delay both protocols AODV and DSR is compared.


Author(s):  
Hazura Mohameda ◽  
Muhammad Hisyam Lee ◽  
Mazalan Sarahintub ◽  
Shaharuddin Salleh ◽  
Bahrom Sanugi

Mobile ad-hoc network routing protocol performance is evaluated mostly through simulative studies. One-factor-at-atime approach is commonly used to quantify the effect of various factors on the protocol performance. In this work, the effect of several factors was investigated simultaneously and speedily with the application of Taguchi design of experiments. The effect of the factors which include terrain size, node speed, network size, transmission range, transmission rates, pause time, and maximum connection on routing overhead was quantified. Analysis signal-to-noise ratio was performed to determine the best possible combination of factors and analysis of variance (ANOVA) was carried out to identify the significant factors that affect the routing overhead. The results showed that network size, transmission range and maximum connection play a significant role in minimizing routing overhead. The results were confirmed experimentally at 95% confidence interval.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Puneet Garg ◽  
Ashutosh Dixit ◽  
Preeti Sethi ◽  
Plácido Rogerio Pinheiro

The need and importance of Smart Spaces have been potentially realized by the researchers due to its applicability in the current lifestyle. Opportunistic network, a successor of mobile ad hoc networks and a budding technology of network, is a best-suited technology for implementing Smart Spaces due to its wide range of applications in real-life scenarios ranging from building smart cities to interplanetary communication. There are numerous routing protocols which are available in opportunistic network, each having their pros and cons; however, no research till the time of listing has been done which can quantitatively demonstrate the maximum performance of these protocols and standardize the comparison of opportunistic routing protocols which has been a major cause of ambiguous performance evaluation studies. The work here presents a categorical view of the opportunistic routing protocol family and thereby compares and contrasts the various simulators suited for their simulation. Thereafter, the most popular protocols (selecting at least one protocol from each category) are compared based on node density on as many as 8 standard performance metrics using ONE simulator to observe their scalability, realism, and comparability. The work concludes by presenting the merits and demerits of each of the protocols discussed as well as specifying the best routing protocol among all the available protocols for Smart Spaces with maximum output. It is believed that the results achieved by the implemented methodology will help future researchers to choose appropriate routing protocol to delve into their research under different scenarios.


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